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  1. README.md +5 -3
README.md CHANGED
@@ -34,6 +34,8 @@ DeepSeek-VL2-tiny is built on DeepSeekMoE-3B (total activated parameters are 1.0
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  On the basis of `Python >= 3.8` environment, install the necessary dependencies by running the following command:
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  ```shell
 
 
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  pip install -e .
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  ```
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@@ -48,12 +50,12 @@ pip install -e .
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  import torch
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  from transformers import AutoModelForCausalLM
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- from deepseek_vl.models import DeepseekVLV2Processor, DeepseekVLV2ForCausalLM
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- from deepseek_vl.utils.io import load_pil_images
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  # specify the path to the model
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- model_path = "deepseek-ai/deepseek-vl2-small"
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  vl_chat_processor: DeepseekVLV2Processor = DeepseekVLV2Processor.from_pretrained(model_path)
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  tokenizer = vl_chat_processor.tokenizer
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  On the basis of `Python >= 3.8` environment, install the necessary dependencies by running the following command:
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  ```shell
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+ git clone https://github.com/deepseek-ai/DeepSeek-VL2
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+ cd DeepSeek-VL2
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  pip install -e .
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  ```
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  import torch
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  from transformers import AutoModelForCausalLM
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+ from deepseek_vl2.models import DeepseekVLV2Processor, DeepseekVLV2ForCausalLM
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+ from deepseek_vl2.utils.io import load_pil_images
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  # specify the path to the model
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+ model_path = "deepseek-ai/deepseek-vl2-tiny"
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  vl_chat_processor: DeepseekVLV2Processor = DeepseekVLV2Processor.from_pretrained(model_path)
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  tokenizer = vl_chat_processor.tokenizer
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